Model‑Agnostic Architecture: Swap LLM Providers with Ease
A practical guide to designing model‑agnostic app architecture: adapter layers, unified prompts, normalization, feature flags, evaluation harnesses, and checklists.
LLM
Model update playbook: Safe LLM testing, rollout & rollback
A step-by-step playbook for small teams to test LLM updates: test suites, staging checks, canary rollouts, monitoring signals, and safe rollback templates.
Safely Connect LLMs to Your Apps: OAuth Scopes, Permissions
Step-by-step guide to secure LLM app integrations: choose minimal OAuth scopes, use short-lived tokens and revocation, monitor for anomalies, and vet third parties.
Choose the Right AI Model for Small-Business Tasks: Decision Flow
A practical decision flow to choose AI models for common small‑business tasks—summaries, support, code, and images—plus prompts, tradeoffs, and a vendor checklist.
How to Build a Secure Sandbox for LLM Automations — Practical Guide
Step-by-step guide to set up an isolated LLM automation sandbox: threat model, local vs cloud infrastructure, data rules, safe test cases, metrics and rollback plan.
How to Set Token Budgets and Control Costs with LLM APIs
Practical step-by-step guide to define token budgets, monitor LLM usage, implement throttles and fallbacks, and set alert thresholds so teams can control API costs.
Spot and Reduce LLM Hallucinations: A Practical Testing Toolbox
A hands-on guide with reproducible tests, prompt templates, verification steps, and production guardrails to reduce LLM hallucinations across workflows.